Solar still desalination system equipped with paraffin as phase change material: exergoeconomic analysis and multi-objective optimization

被引:0
|
作者
Muhammad Zeeshan Malik
Farayi Musharavati
Saber Khanmohammadi
Shoaib Khanmohammadi
Dinh Duc Nguyen
机构
[1] Huaiyin Institute of Technology,Faculty of Automation
[2] Qatar University,Department of Mechanical and Industrial Engineering
[3] University of Kashan,Department of Mechanical Engineering
[4] Kermanshah University of Technology,Department of Mechanical Engineering
[5] Duy Tan University,Institute of Research and Development
[6] Kyonggi University,Department of Environmental Energy Engineering
关键词
Solar still; Multi-objective optimization; Economic analysis; Exergy analysis; PCM;
D O I
暂无
中图分类号
学科分类号
摘要
The current work is about analysis and multi-objective optimization (MOO) of weir-type solar still systems equipped with phase change material (PCM) regarding the exergetic and economic performance. To do so, the energetic and exergetic modeling of the suggested system is conducted then the substantial economic factors is applied to obtain the total cost rate of the considered SSDS. The total exergetic efficiency and total annual cost (TAC) is considered objective functions. Four parameters include mass of the PCM (mPCM), inlet brine water flow rate (ṁf\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\dot{m}}_{\mathrm{f}} $$\end{document}), gap distance (d), and insulation width (xins) is chosen as decision variables. Moreover, a genetic algorithm–based MOO was applied to find the optimum states of evaluated solar still unit. The outputs represented that increasing the brine feed water mass flow rate does not affect the TAC while decreasing distilled water production rate. The scattered distribution of optimum states infers that the optimum value of PCM mass is about 1 kg. In addition, applied MOO reveals that with optimization of the studied system, the exergy efficiency increases about 1.47% and the annual distilled water increases 4.35% compared with the non-optimized system. The suggested system is capable to produce fresh water in remote areas without any pollution as well as in a low cost rate.
引用
收藏
页码:220 / 234
页数:14
相关论文
共 50 条
  • [21] Development of an exergoeconomic model for analysis and multi-objective optimization of a thermoelectric heat pump
    Nemati, Arash
    Nami, Hossein
    Yari, Mortaza
    Ranjbar, Faramarz
    Kolvir, Hojjatollah Rashid
    ENERGY CONVERSION AND MANAGEMENT, 2016, 130 : 1 - 13
  • [22] Multi-objective optimization of a solar driven trigeneration system
    Bellos, Evangelos
    Tzivanidis, Christos
    ENERGY, 2018, 149 : 47 - 62
  • [23] Multi-objective Optimization of a Membrane Distillation System for Desalination of Sea Water
    Sharma, Shivom
    Rangaiah, G. P.
    22 EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2012, 30 : 117 - 121
  • [24] Multi-objective optimization and exergoeconomic analysis of solar and geothermal-based power and cooling system using zeotropic mixtures as the working fluid
    Zhang, Wei
    Zhang, Lei
    Chen, Feng
    Cai, Jie
    Liu, Yi
    Zhang, JinLing
    Wang, XunMing
    Sohail, Madni
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2023, 175 : 495 - 515
  • [25] Theoretical investigation of solar desalination with solar still having phase change material and connected to a solar collector
    Abu-Arabi, Mousa
    Al-harahsheh, Mohammad
    Mousa, Hasan
    Alzghoul, Zobaidah
    DESALINATION, 2018, 448 : 60 - 68
  • [26] Multi-objective optimization of a plate heat exchanger thermal energy storage with phase change material
    Taghavi, Mehrdad
    Ferrantelli, Andrea
    Joronen, Tero
    JOURNAL OF ENERGY STORAGE, 2024, 89
  • [27] Thermo-economic evaluation of a solar desalination equipped with Phase change material and spraying unit
    Bahramei, Rashed
    Samimi-Akhijahani, Hadi
    Salami, Payman
    Khazaei, Naser Behroozi
    DESALINATION, 2024, 574
  • [28] Multi-objective optimization and exergoeconomic analysis for a novel full-spectrum solar-assisted methanol combined cooling, heating, and power system
    Han, Zepeng
    Wang, Jiangjiang
    Cui, Zhiheng
    Lu, Chunyan
    Qi, Xiaoling
    ENERGY, 2021, 237
  • [29] Multi-objective optimization and 3E analysis for solar-driven dual ejector refrigeration and phase change material as thermal energy storage
    Yazdani, Mohammad
    Deymi-Dashtebayaz, Mahdi
    Ghorbani, Sobhan
    APPLIED THERMAL ENGINEERING, 2024, 249
  • [30] A Novel Electricity and Freshwater Production System: Performance Analysis from Reliability and Exergoeconomic Viewpoints with Multi-Objective Optimization
    Hamrang, Farzad
    Mahmoudi, S. M. Seyed
    Rosen, Marc A.
    SUSTAINABILITY, 2021, 13 (11)